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» The Rate of Convergence of AdaBoost
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TSP
2008
151views more  TSP 2008»
13 years 11 months ago
Convergence Analysis of Reweighted Sum-Product Algorithms
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
Tanya Roosta, Martin J. Wainwright, Shankar S. Sas...
SIAMNUM
2010
89views more  SIAMNUM 2010»
13 years 5 months ago
Convergence of a Fully Conservative Volume Corrected Characteristic Method for Transport Problems
We consider the convergence of a volume corrected characteristics-mixed method (VCCMM) for advection-diffusion systems. It is known that, without volume correction, the method is f...
Todd Arbogast, Wen-Hao Wang
CORR
2006
Springer
101views Education» more  CORR 2006»
13 years 11 months ago
MDL Convergence Speed for Bernoulli Sequences
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
Jan Poland, Marcus Hutter
3DIM
2003
IEEE
14 years 4 months ago
Reliable and Rapidly-Converging ICP Algorithm Using Multiresolution Smoothing
Autonomous range acquisition for 3D modeling requires reliable range registration, for both the precise localization of the sensor and combining the data from multiple scans for v...
Kok-Lim Low, Anselmo Lastra
LSSC
2001
Springer
14 years 3 months ago
A Quasi-Monte Carlo Method for Integration with Improved Convergence
Abstract. Quasi-Monte Carlo methods are based on the idea that random Monte Carlo techniques can often be improved by replacing the underlying source of random numbers with a more ...
Aneta Karaivanova, Ivan Dimov, Sofiya Ivanovska